Application of SWAT model with CMADS data for hydrological simulation in western China

Precise simulations of hydrological processes under the influence of climate change and human activities have special significance in arid basins. During the past 60 years, the annual average temperature and precipitation at the northern foothills of the Tianshan Mountains have increased at the rate...

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Autores principales:	Yuejian Wang, Guang Yang, Xinchen Gu, Xinlin He, Yongli Gao, Lijun Tian, Na Liao
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	cmads hydrological processes swat model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/4635cd5865f046ad9b3ba56e551ed49f
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spelling	oai:doaj.org-article:4635cd5865f046ad9b3ba56e551ed49f2021-11-05T18:52:20ZApplication of SWAT model with CMADS data for hydrological simulation in western China2040-22442408-935410.2166/wcc.2020.040https://doaj.org/article/4635cd5865f046ad9b3ba56e551ed49f2021-06-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/4/1154https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Precise simulations of hydrological processes under the influence of climate change and human activities have special significance in arid basins. During the past 60 years, the annual average temperature and precipitation at the northern foothills of the Tianshan Mountains have increased at the rates of 0.035 °C/year and 0.881 mm/year, respectively. Rising temperatures will change the temporal and spatial distributions and forms of precipitation, accelerate glacier retreat, melt snow on high mountains, cause the degeneration of frozen soil, and change the runoff composition in the Tianshan area. In this work, the CMADS (China Meteorological Assimilation Driving Dataset for the SWAT model) was combined with the SWAT (Soil and Water Assessment Tool) model to simulate runoff in the upper reaches of the Jing River and Bo River Basins in the Tianshan area. The results were as follows. (1) On the monthly scale, the average Nash–Sutcliffe efficiency (NSE) coefficients of the calibration period in the Wenquan and Jinghe–Shankou hydrological stations were 0.79 and 0.87, respectively, and the NSE coefficients of validation period were 0.71 and 0.82, respectively. On the daily scale, the NSE coefficients of the two hydrological stations were between 0.69 and 0.77. The simulation results were considered to be ideal on the monthly and daily scales. (2) Under different climate scenarios and land-use patterns, the cultivated land in the basin leads to the reduction of runoff, and the grassland and woodland stabilise the river flood season. Lakes and wetlands, which can reduce the flow in the flood season and provide water for rivers in the dry season, are very important for runoff regulation. Compared with the traditional meteorological stations, CMADS demonstrates good representativeness and reliability in the Jinghe River and Bohe River Basins under different climate and land-use scenarios, greatly improving the runoff simulation ability. HIGHLIGHTS The hydrological simulation by the CMADS + SWAT model has a higher accuracy than the OBS + SWAT model.; Increasing temperatures and precipitation significantly increased positive runoff. Increasing arable lands and decreasing the total water area will reduce the runoff.; Reducing the grass, woodland, and shrub forest area will lead to the runoff in the flood season becoming more concentrated.;Yuejian WangGuang YangXinchen GuXinlin HeYongli GaoLijun TianNa LiaoIWA Publishingarticlecmadshydrological processesswat modelEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 4, Pp 1154-1167 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cmads hydrological processes swat model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	cmads hydrological processes swat model Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Yuejian Wang Guang Yang Xinchen Gu Xinlin He Yongli Gao Lijun Tian Na Liao Application of SWAT model with CMADS data for hydrological simulation in western China
description	Precise simulations of hydrological processes under the influence of climate change and human activities have special significance in arid basins. During the past 60 years, the annual average temperature and precipitation at the northern foothills of the Tianshan Mountains have increased at the rates of 0.035 °C/year and 0.881 mm/year, respectively. Rising temperatures will change the temporal and spatial distributions and forms of precipitation, accelerate glacier retreat, melt snow on high mountains, cause the degeneration of frozen soil, and change the runoff composition in the Tianshan area. In this work, the CMADS (China Meteorological Assimilation Driving Dataset for the SWAT model) was combined with the SWAT (Soil and Water Assessment Tool) model to simulate runoff in the upper reaches of the Jing River and Bo River Basins in the Tianshan area. The results were as follows. (1) On the monthly scale, the average Nash–Sutcliffe efficiency (NSE) coefficients of the calibration period in the Wenquan and Jinghe–Shankou hydrological stations were 0.79 and 0.87, respectively, and the NSE coefficients of validation period were 0.71 and 0.82, respectively. On the daily scale, the NSE coefficients of the two hydrological stations were between 0.69 and 0.77. The simulation results were considered to be ideal on the monthly and daily scales. (2) Under different climate scenarios and land-use patterns, the cultivated land in the basin leads to the reduction of runoff, and the grassland and woodland stabilise the river flood season. Lakes and wetlands, which can reduce the flow in the flood season and provide water for rivers in the dry season, are very important for runoff regulation. Compared with the traditional meteorological stations, CMADS demonstrates good representativeness and reliability in the Jinghe River and Bohe River Basins under different climate and land-use scenarios, greatly improving the runoff simulation ability. HIGHLIGHTS The hydrological simulation by the CMADS + SWAT model has a higher accuracy than the OBS + SWAT model.; Increasing temperatures and precipitation significantly increased positive runoff. Increasing arable lands and decreasing the total water area will reduce the runoff.; Reducing the grass, woodland, and shrub forest area will lead to the runoff in the flood season becoming more concentrated.;
format	article
author	Yuejian Wang Guang Yang Xinchen Gu Xinlin He Yongli Gao Lijun Tian Na Liao
author_facet	Yuejian Wang Guang Yang Xinchen Gu Xinlin He Yongli Gao Lijun Tian Na Liao
author_sort	Yuejian Wang
title	Application of SWAT model with CMADS data for hydrological simulation in western China
title_short	Application of SWAT model with CMADS data for hydrological simulation in western China
title_full	Application of SWAT model with CMADS data for hydrological simulation in western China
title_fullStr	Application of SWAT model with CMADS data for hydrological simulation in western China
title_full_unstemmed	Application of SWAT model with CMADS data for hydrological simulation in western China
title_sort	application of swat model with cmads data for hydrological simulation in western china
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/4635cd5865f046ad9b3ba56e551ed49f
work_keys_str_mv	AT yuejianwang applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina AT guangyang applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina AT xinchengu applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina AT xinlinhe applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina AT yongligao applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina AT lijuntian applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina AT naliao applicationofswatmodelwithcmadsdataforhydrologicalsimulationinwesternchina
_version_	1718444098529001472

Application of SWAT model with CMADS data for hydrological simulation in western China

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